投稿時間:2021-09-17 04:29:40 RSSフィード2021-09-17 04:00 分まとめ(33件)

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AWS	AWS Partner Network (APN) Blog	Say Hello to 74 New AWS Competency, Service Delivery, Service Ready, and MSP Partners Added in August	https://aws.amazon.com/blogs/apn/say-hello-to-74-new-aws-competency-service-delivery-service-ready-and-msp-partners-added-in-august/	Say Hello to New AWS Competency Service Delivery Service Ready and MSP Partners Added in AugustWe are excited to highlight AWS Partners that received new designations in August for our global AWS Competency AWS Managed Service Provider MSP AWS Service Delivery and AWS Service Ready programs These designations span workload solution and industry and help AWS customers identify top AWS Partners that can deliver on core business objectives AWS Partners are focused on your success helping customers take full advantage of the business benefits AWS has to offer	2021-09-16 18:56:30
AWS	AWS Government, Education, and Nonprofits Blog	What you need to know about the Executive Order on Improving the Nation’s Cybersecurity and how AWS can help	https://aws.amazon.com/blogs/publicsector/what-need-to-know-executive-order-improving-nations-cybersecurity-how-aws-can-help/	What you need to know about the Executive Order on Improving the Nation s Cybersecurity and how AWS can helpPresident Biden s executive order emphasizes the need to elevate information security as a core tenet of national security and calls on federal agencies and public sector organizations to work with the private sector to prioritize the data security and privacy of the American people and government AWS and AWS Partners can help government agencies align with the initiatives in this executive order	2021-09-16 18:09:08
AWS	AWS	AWS Transfer Family Managed Workflows Demo | Amazon Web Services	https://www.youtube.com/watch?v=t-iNqCRospw	AWS Transfer Family Managed Workflows Demo Amazon Web ServicesThe AWS Transfer Family makes it easy to migrate File Transfer Protocol over SFTP FTPS and FTP workloads to AWS AWS Transfer Family now supports managed workflows that makes it easy for you to create execute and monitor post upload processing for file transfers over SFTP FTPS and FTP for Amazon S and Amazon EFS Using this feature you can save time with low code automation to coordinate all the necessary tasks such as copying and tagging You can also configure custom logic using AWS Lambda to extend workflows for decryption security scanning file validation among other use cases With managed workflows quickly detect anomalies and meet your compliance requirements with ease In this demo we ll discuss how to use AWS Transfer Family managed workflows with supported workflow step types as well as with custom steps with an AWS Lambda function target Learn more AWS Transfer Family AWS Transfer Family Demo Subscribe More AWS videos More AWS events videos ABOUT AWSAmazon Web Services AWS is the world s most comprehensive and broadly adopted cloud platform offering over fully featured services from data centers globally Millions of customers ーincluding the fastest growing startups largest enterprises and leading government agencies ーare using AWS to lower costs become more agile and innovate faster AWS AmazonWebServices CloudComputing	2021-09-16 18:31:19
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	Python Selenium を使ったプルダウンメニューの中身のひとつをクリックしたいが、方法が分からずに困っています	https://teratail.com/questions/359926?rss=all	具体的には、以下の画像の中で、薄い青色でハイライトした部分「コンテンツのエクスポート」というメニューをクリックしたいのですが、そのやり方が分からずに困っている状況です。	2021-09-17 03:54:22
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	.htaccessを使わずにhttpd.confで運用	https://teratail.com/questions/359925?rss=all	htaccessを使わずにhttpdconfで運用前提・実現したいことWordPressでhtaccessを使わずにアパッチの主設定ファイルhttpdconfで運用にしたいと思っています。	2021-09-17 03:22:28
Program	[全てのタグ]の新着質問一覧｜teratail（テラテイル）	なぜか同じパスが2回書かれている	https://teratail.com/questions/359924?rss=all		2021-09-17 03:11:37
Docker	dockerタグが付けられた新着投稿 - Qiita	IBM Cloud Container Registryにイメージを登録するいくつかの方法	https://qiita.com/teruq/items/5c5ede6c420acc9a0c00	詳しくは、次のページを参照してくださいSendingbuildcontexttoDockerdaemonMB略OKDockerやPodmanを使用するDockerやPodmanを使用する方法です。	2021-09-17 03:06:39
Git	Gitタグが付けられた新着投稿 - Qiita	[GitHub]個人アクセストークンの期限切れと更新作業	https://qiita.com/m1130wata/items/d52a25fb5ca9fed3108a	自分のアクセストークンの期限を確認したら期限切れまで週間切っていたので、ついでにアクセストークンの再作成とパスワード再設定をやり、そこで参照したいろんな記事の集約αでまとめてみました。	2021-09-17 03:04:15
海外TECH	Ars Technica	Office 2021 will be available for non-Microsoft 365 subscribers on October 5	https://arstechnica.com/?p=1795878	subscription	2021-09-16 18:26:26
海外TECH	Ars Technica	Lost Judgment impressions: 15 wild hours in Yokohama	https://arstechnica.com/?p=1795692	judgment	2021-09-16 18:17:31
海外TECH	DEV Community	Batemos a meta do NPS! Como foi?	https://dev.to/convenia/batemos-a-meta-do-nps-e-agora-4cnk	Batemos a meta do NPS Como foi Antes de mais nada o que éNPS O Net Promoter Score NPS éuma métrica de lealdade do cliente criada por Fred Heichheld com o objetivo de medir o grau de lealdade dos clientes das empresas de qualquer segmento trazendo reflexos da experiência e satisfação dos clientes Resumidamente éuma pesquisa feita com os clientes perguntando de a qual seria a probabilidade deles recomendarem o seu produto para outras pessoas As notas são divididas da seguinte maneira Detratores Neutros PromotoresImaginem um grupo de amigos em uma mesa de bar quando o assunto do momento érelacionado a algum produto que resolva determinado problema e o seu produto élevantado como opção Detratores são aqueles que não irão recomendar por N motivos ou por um pequeno motivo mas que para ele éimportante Neutros ficarão em cima do muro Promotores recomendarão fortemente o produto dando exemplos de problemas solucionados Acho NPS uma forma de medir muito ingrata a conta para saber se vocêestáem uma zona de excelência não éter mais promotores do que detratores somente Um detrator pesa bem mais que um promotor Por exemplo em uma pesquisa com pessoas respostas deram notas e promotores deram notas ou neutros e deram notas de a detratores O cálculo de NPS deve ser promotores detratores ÷ número total de pessoas que responderam Seu produto sócomeça a entrar na zona de excelência após ultrapassar a barreira de E aqui começa o nosso post Aqui na Convenia alinhamos como meta do time de produto atingir o NPS acima da zona de excelência E sabíamos que não seria tarefa fácil por ser um SAAS com diversos tipos de clientes setores etc Pelo título do post játemos um spoiler que conseguimos alcançar nosso objetivo durante o ano mas o que quero passar aqui é quais foram as principais ações para que isso se tornasse realidade Alinhamento com time de vendasSabemos que um vendedor quer vender a qualquer custo não estáerrado mas uma mudança clara foi saber vender a qualquer custo sabendo das limitações e das qualidades do produto Normal em um time em crescimento ter desalinhamento em relação ao que o produto écapaz de fazer Por conta disso foi importantíssimo reuniões de alinhamento com o time de vendas e produto constantes para sanar dúvidas ou sugerir evoluções Alinhamento com o time de CSCS tem papel fundamental de fazer com que o cliente chegue no sucesso esperado utilizando o sistema E como fazer isso Pensando fora da caixa e porque não sugerir melhorias no produto seja no processo de implantação para reduzir tempo gasto em alguma tarefa entregando valor mais rápido ajudando a realizar pesquisas com clientes para entender quais são as principais dúvidas e demandas Afinal CS équem mais passa o tempo se relacionando com os clientes Ter um time de CS integrado com o time de produto foi essencial onde cada um entendeu a limitação de cada área Produto atacando o que realmente importaAqui na Convenia temos um processo bem definido de priorização escrevi sobre o tema a um tempo atrás Tendo um processo alinhado com a estratégia da empresa o que precisa ser feito éexecutar No momento que adiciono como tag do post a palavra alinhamentoPor que esse foi o principal motivo da chegada a meta Time de design pensando na melhor usabilidade como resolver um problema da maneira mais fácil e ágil possível Time de engenharia focado em entregar valor rápido não menosprezando qualidade e segurança Mais e ai qual foi o NPS alcançado Durante todo o ano batíamos na trave até lembra quando falei que NPS era ingrato teve um mês que no último dia o sonho foi postergado o time sofreu E isso émuito legal fomos mais fortes para a próxima rodada atéque alcançamos o BOOOM Foi hora de comemorar e entender que o trabalho apenas começou pois chegar édifícil se manter émuito mais Sabemos que no próximo mês o resultado pode não ser tão bom mas confiar no processo éessencial para isso se tornar um padrão	2021-09-16 18:34:01
海外TECH	DEV Community	A powerful full-text search in PostgreSQL in less than 20 lines	https://dev.to/leandronsp/a-powerful-full-text-search-in-postgresql-in-less-than-20-lines-5c0d	A powerful full text search in PostgreSQL in less than linesThis blogpost will guide you to understand the fundamental pieces needed to implement a good enough full text search using PostgreSQL Spoiler alert for those curious people looking for a okay just show me a full text search with ranking and fuzzy search in Postgres in less than lines so here you go SELECT courses id courses title courses description rank title rank description similarityFROM courses to tsvector courses title courses description document to tsquery sales query NULLIF ts rank to tsvector courses title query rank title NULLIF ts rank to tsvector courses description query rank description SIMILARITY sales courses title courses description similarityWHERE query document OR similarity gt ORDER BY rank title rank description similarity DESC NULLS LASTBut if you need to understand what the heck is the above SQL statement doing let me explain you a bit of context and FTS Full text search fundamentals in PostgreSQL Context mattersA bunch of years ago I read this awesome blogpost called Postgres full text search is good enough It s really worth reading I could get many insights since I was already using PostgreSQL as my standard database By the time I was comfortable using ElasticSearch for text searching and if we go even before that back to I have experience using Apache Lucene from which ElasticSearch is based on However managing ElasticSearch deployment is not easy It requires a lot of patience and memory Then back to I wrote this article explaining the reasons why I decided to experiment on PG text search as well as showing a practical example in a Ruby application In this guide I ll focus on a simpler yet powerful example using only SQL so if you want to follow me in this adventure make sure you have PostgreSQL installed That s the only requirement No more tools to install or setup Postgres solely Seeding dataIn order to explain further the fundamentals of textual search relevance and results ranking we have to seed our database with real data and compare different search strategies Let s create a table called courses containing only a title and description columns Those columns will be our searchable columns in which we will perform a text search against CREATE TABLE courses id SERIAL PRIMARY KEY title VARCHAR NOT NULL description VARCHAR NOT NULL Next we will populate the table with some dummy data INSERT INTO courses title description VALUES Improve your sales skills A complete course that will help you to improve your sales skills Intro to Computer Science Understant how computers work Law Have you ever wondered doing some Law Natural Sciences the easy way Your guide to understand the world Mathematics a gentle introduction Numbers are easy The crash course of Data Science Be a data scientist in weeks Sales crash course Yet another course on Sales Java in a nutshell Learn Java in days Ruby programming language DDH sales Ruby but could you buy it Sales matter Really History in pages Can you learn history in pages Mastering Git Git history will no longer bother you Cooking like a boss Be the next master chef Master Chef Cooking revisited Functional Programming in a nutshell Learn FP in days Check the data was properly created SELECT FROM courses Cool Now before going to full text search let s perform a simple textual search as used in many SQL systems pattern matching Textual search using LIKE and ILIKETextual search using LIKE is pretty straightforward as doing SELECT courses id courses title courses descriptionFROM coursesWHERE courses title LIKE java OR courses description LIKE java But it returned no results since the LIKE is case sensitive which means we have to specify the upcase letter as saved in the table courses title LIKE Java OR courses description LIKE Java Java in a nutshell Learn Java in days We are lucky today then let s use the ILIKE which is case insensitive so there s no need to upcase as it will perform pattern matching on either capital and non capital letters courses title ILIKE java OR courses description ILIKE java Java in a nutshell Learn Java in days Considerations on LIKE ILIKEMany systems use the pattern matching feature to implement very simple text searches It can be enough for many scenarios but the more the platform grows in demanding users the more search needs to return better results with a more accurate relevance and ranking According to the official Postgres documentation the pattern matching LIKE ILIKE lacks essential properties required by modern systems They provide no ordering ranking of search results which makes them ineffective when thousands of matching documents are found They tend to be slow because there is no index support so they must process all documents for every search There is no linguistic support even for English Regular expressions are not sufficient because they cannot easily handle derived words For a more practical example and being that we give more relevance for the title over description let s see in action the ILIKE lacking such a requirement SELECT FROM coursesWHERE courses title ILIKE sales OR courses description ILIKE sales Not good We want the course which contains the word Sales in its title to appear before the course which holds the word in its description Furthermore which would be our order criteria How about ordering by a score so we can build a rank of our results Full text search for the rescue Full text search in PostgreSQLFull text searching FTS allows documents to be preprocessed and an index saved for later rapid searching and ranking Please refer to the official documentation which is quite complete and provides all the information needed to understand and implement a FTS The main building blocks for FTS in PG Postgres are tsvector which represents a searchable documenttsquery which is the search query to perform against a document tsvectorThe to tsvector function parses an input text and converts it to the search type that represents a searchable document For instance SELECT to tsvector Java in a nutshell will give the following java nutshel the result is a list of lexemes ready to be searchedstop words in a the etc were removedthe numbers are the position of the lexemes in the document java starts at the st position whereas nutshell starts at the th position tsqueryThe to tsquery function parses an input text and converts it to the search type that represents a query For instance the user wants to search java in a nutshell SELECT to tsquery java amp in amp a amp nutshell will give the following java amp nutshel the result is a list of tokens ready to be queriedstop words in a the etc were removedSo how to match a query against a document The operatorThe operator allows to match a query against a document and returns true or false Simple as that true SELECT to tsquery java amp in amp a amp nutshell to tsvector Java in a nutshell true SELECT to tsquery java to tsvector Java in a nutshell true SELECT to tsquery nutshell to tsvector Java in a nutshell false SELECT to tsquery batatas to tsvector Java in a nutshell Yay As for now we have the essential requirements to implement FTS on our courses table Search against coursesLet s perform the basic full text search looking for courses containing java in their titles SELECT FROM coursesWHERE to tsquery java to tsvector courses title Java in a nutshell Learn Java in days Great Let s perform the search sales against the title and description as well SELECT FROM coursesWHERE to tsquery sales to tsvector courses title courses description orSELECT FROM courses to tsvector courses title courses description documentWHERE to tsquery sales documentAt this moment the results are similar to our ILIKE version Let s see where the FTS really shines ts rankThe ts rank function takes the document and query as arguments attempts to measure how relevant are documents to a particular query SELECT ts rank to tsvector Java in a nutshell to tsquery java Checking multiple variations SELECT ts rank to tsvector Java in a nutshell to tsquery nutshell SELECT ts rank to tsvector Java in a nutshell to tsquery batatas A more sophisticated simulating a rank of potential titles and descriptions SELECT ts rank to tsvector Java in a nutshell to tsquery java AS rank title ts rank to tsvector Learn in days to tsquery java AS rank descriptionGreat Now we have all the needed to implement a better textual search with proper ranking against our courses Search courses with rankingRanking results means that we have to split the document in different rankings so we can perform ordering accordingly We basically need to export the ranking fields SELECT ts rank to tsvector courses title query as rank title ts rank to tsvector courses description query as rank description and perform the query against the whole document containing either title and description FROM to tsvector courses title courses description document to tsquery sales queryWHERE query document Then we are ready to perform the correct ordering ORDER BY rank description rank title DESC The implementation with rankingSo here we have a implementation of a full text search with ranking in PostgreSQL in just lines of SQL code SELECT courses id courses title courses description ts rank to tsvector courses title query as rank title ts rank to tsvector courses description query as rank descriptionFROM courses to tsvector courses title courses description document to tsquery sales queryWHERE query documentORDER BY rank description rank title DESC Is it fast Depending on the amount of data such a query may face performance issues since it needs to convert data to searchable documents on the fly Index for the rescueCreating the proper index a GIN index for text search it can improve the performance by orders of magnitude In this project I made a proof of concept in which millions of cities could be searched in just a few milliseconds GIN index only No materialized view needed Let s see how a GIN index could be created for our courses table CREATE INDEX courses search idx ON courses USING GIN to tsvector courses title courses description And we are good Just sit down relax and enjoy a search across millions of courses with no performance issues How about fuzzy searching Fuzzy search or string approximation matching is the technique used to calculate the approximation of two strings It s commonly used to anticipate mispellings on the queries and so on Unfortunately the Postgres built in FTS doesn t support fuzzy searching however by using an extension we can combine full text search and fuzzy search in the same SQL query Let s create the extension CREATE EXTENSION pg trgmNow we can see the differences in action SELECT to tsquery jova to tsvector Java in a nutshell AS search SIMILARITY jova Java in a nutshell as similarityNote that searching for jova against a a text Java in a nutshell the full text search match operator returns false whilst the SIMILARITY function provided by the pg trgm extension returns a value In a scale from to similar strings tend to be close to The final implementation using ranking and fuzzy searchSo here we have a implementation of a full text search with ranking and fuzzy search in PostgreSQL in just lines of SQL code SELECT courses id courses title courses description rank title rank description similarityFROM courses to tsvector courses title courses description document to tsquery curse query NULLIF ts rank to tsvector courses title query rank title NULLIF ts rank to tsvector courses description query rank description SIMILARITY curse courses title courses description similarityWHERE query document OR similarity gt ORDER BY rank title rank description similarity DESC NULLS LASTHighlights we apply the similarity function against the title and descriptionwhen the search has no match we filter the results which have a similarity above added the NULLIF function so when the rank is zero we cast the value to NULL so the ordering can consider NULL values to be the last in ranking results ConclusionThis guide was quite heavy but it covered only the very basics of full text search in Postgres In the official documentation you can see much more features and capabilities such as highlight documents weights query tree query rewrite dictionaries triggers and so on It s reliable and fast which means that it can be used in a wide range of requirements from simple search systems to complex ones In case you already have PostgreSQL in your stack it s worth considering to experiment on it before going to an external expensive alternative which will demand more attention to operations complexity I hope you could enjoy this ride of implementing FTS in PostgreSQL Happy searching	2021-09-16 18:15:57
Apple	AppleInsider - Frontpage News	Russia threatens fines if Apple & Google don't remove opposition app	https://appleinsider.com/articles/21/09/16/russia-threatens-fines-if-apple-google-dont-remove-opposition-app?utm_medium=rss	Russia threatens fines if Apple amp Google don x t remove opposition appA Russian media watchdog reportedly plans to fine Apple and Google if they refuse to remove an opposition leader s app from their respective app stores Credit Evgenit PixabayRoskomnadzor a Russian federal organization responsible for monitoring and controlling mass media in the country recently signaled its plans to fine the companies if they don t remove the app According to Russian news agency TASS a decision could be made soon if the companies don t take action though the watchdog is not yet at that point Read more	2021-09-16 18:44:25
海外TECH	Engadget	Former 'Destiny' composer could owe Bungie almost $100,000	https://www.engadget.com/marty-odonnell-bungie-contempt-of-court-case-184718223.html?src=rss	Former x Destiny x composer could owe Bungie almost Former Bungie composer Marty O Donnell owes his old employer tens of thousands of dollars in legal fees following a court case related to his exit from the studio According to legal documents obtained by Eurogamer a court found O Donnell in contempt of a previous ruling on July th of this year The broad strokes of the case involve the lawsuit the composer won against Bungie in A court ordered the studio to compensate O Donnell financially but said he couldn t publish any music from Destiny without Bungie s blessing Additionally he had to return all materials related to his work on the first person shooter back to the developer All of that brings us to when O Donnel began uploading to YouTube and Bandcamp demos connected to Music of the Spheres the eight movement symphony he co wrote with Paul McCartney that formed the early musical identity of Destiny In a court motion reviewed by Eurogamer Bungie alleged O Donnell s quot very possession of such materials proves he did not comply with the order to return all material to Bungie quot Judge Regina Cahan sided with the studio and imposed new sanctions on O Donnell Some of the more notable ones include the fact he has to hand over his electronics to a third party firm that will conduct a forensic examination to ensure any assets related to Destiny or Music of the Spheres have been nbsp deleted He also has to pay Bungie all the money he earned from selling tracks tied to the symphony on Bandcamp in addition to compensating it for expenses it accrued during the contempt proceeding That includes lawyer fees Please consider purchasing this soundtrack The money will help with my huge legal bills Thank you ーMarty O Donnell MartyTheElder June In all Bungie is reportedly demanding nearly from the composer an amount his lawyers say is unreasonable O Donnell took to Twitter to lament the case several times in early June quot I m thinking about retiring from the games industry for good quot he said in a deleted message dated to the rd In one tweet that s still up O Donnell asks fans to buy the soundtrack to Golem the PlayStation VR game he worked on with Highwire Games quot The money will help with my huge legal bills quot he said quot Thank you quot	2021-09-16 18:47:18
海外TECH	Engadget	Netflix is making a heist series you can watch in any order	https://www.engadget.com/netflix-nonlinear-heist-series-jigsaw-giancarlo-esposito-paz-vega-183505378.html?src=rss	Netflix is making a heist series you can watch in any orderNetflix is continuing to experiment with storytelling formats Filming is underway on a heist thriller series called Jigsaw which has nothing to do with the Saw movies as best I can tell Although it won t be an interactive project like Black Mirror Bandersnatch or Unbreakable Kimmy Schmidt Kimmy vs the Reverend it s a non linear show According to The Hollywood Reporter you can watch the first seven episodes in any order leading up to the finale similar to Paramount series Interrogation Jigsaw is loosely based on a real story in which billion in Wall Street bearer bonds were at risk due to flood waters caused by Hurricane Sandy The story spans years from decades before the heist to a year afterward The show has a solid cast with Giancarlo Esposito Paz Vega Rufus Sewell and Jai Courtney among those involved Breaking Bad and The Mandalorian star Esposito will play a veteran thief who can t stay away from a life of crime Vega meanwhile plays an attorney who goes above and beyond to protect those close to her Ridley Scott is among the executive producers of the series which was created by showrunner Erica Garcia There s no release date for Jigsaw just yet but it s maybe worth keeping an eye out for so you can put the puzzle pieces together when it arrives	2021-09-16 18:35:05
海外TECH	Engadget	Facebook has a new policy for fighting 'coordinated social harm'	https://www.engadget.com/facebook-coordinated-social-harm-180601493.html?src=rss	Facebook has a new policy for fighting x coordinated social harm x Facebook has announced a new policy that allows it to take out networks of accounts engaging in “coordinated social harm The company said the change could help the platform fight harmful behavior it wouldn t otherwise be able to fully address under its existing rules Unlike “coordinated inauthentic behavior which is Facebook s policy for dealing with harm that comes from networks of fake accounts coordinated social harm gives the company a framework to address harmful actions from legitimate accounts During a call with reporters the company s head of security policy Nathaniel Gleicher said the policy is necessary because bad actors are increasingly trying to “blur the lines between authentic and inauthentic behavior “We are seeing groups that pose a risk of significant social harm that also engage in violations on our platform but don t necessarily rise to the level for either of those where we d enforce against for inauthenticity under CIB coordinated inauthentic behavior or under our dangerous organizations policy Gleicher said “So this protocol is designed to capture these groups that are sort of in between spaces Gleicher added that the new protocols could help Facebook address networks of accounts spreading anti vaccine misinformation or groups trying to organize political violence In announcing the change Facebook said it took down a small network of accounts in Germany that were linked to the “Querdenken movement which has spread conspiracy theories about the country COVID restrictions and has been “linked to off platform violence Facebook said it could take “a range of actions in enforcing its new rules around coordinated social harm That could include banning accounts ーas it did with the “Querdenken movement ーor throttling their reach to prevent content from spreading as widely The issue of how to handle groups that break Facebook s rules in a coordinated way has been a difficult one for the company which up until now has primarily focused on taking down networks that rely on fake accounts to manipulate its platform The issue came up earlier this year following the January th insurrection as Facebook investigated the “Stop the Steal movement According to an internal report obtained by BuzzFeed News Facebook employees suggested its existing policies weren t equipped to handle “inherently harmful coordination by legitimate accounts which prevented it from realizing “Stop the Steal was a “cohesive movement until it was too late During a press call Gleicher said that the “work on this policy started well before January th But he added that the company s work against high profile groups had informed their decision making “If you think about our enforcement against QAnon related actors if you think about our enforcement against Stop the Steal if you think about our enforcement against other groups ーwe learned from all of them	2021-09-16 18:06:01
海外科学	NYT > Science	SpaceX Launches Astronaut Crew Like No Other on Orbital Adventure	https://www.nytimes.com/2021/09/15/science/spacex-inspiration4-orbit.html	SpaceX Launches Astronaut Crew Like No Other on Orbital AdventureThe Inspiration mission successfully lifted off from Florida carrying with it an ambition of making spaceflight more accessible to the broader public	2021-09-16 18:48:50
海外科学	NYT > Science	Highlights From SpaceX’s Launch of Inspiration4	https://www.nytimes.com/live/2021/09/15/science/spacex-launch-inspiration4/	amateur	2021-09-16 18:10:15
海外科学	NYT > Science	Exxon, Chevron, BP and Others Called to Testify on Climate Disinformation	https://www.nytimes.com/2021/09/16/climate/exxon-oil-disinformation-house-probe.html	Exxon Chevron BP and Others Called to Testify on Climate DisinformationExecutives from Exxon Shell BP and others are being called to testify in Congress next month after a secret recording this year exposed an Exxon official boasting of such efforts	2021-09-16 18:53:57
金融	金融庁ホームページ	「サステナブルファイナンス有識者会議（第９回）」を開催します。	https://www.fsa.go.jp/news/r3/singi/20210916.html	有識者会議	2021-09-16 19:30:00
金融	ニュース - 保険市場TIMES	T＆Dフィナンシャル生命、インターネット申し込みの取り扱い開始	https://www.hokende.com/news/blog/entry/2021/09/17/031500		2021-09-17 03:15:00
ニュース	BBC News - Home	Prince Philip's will to be secret for 90 years	https://www.bbc.co.uk/news/uk-58587147?at_medium=RSS&at_campaign=KARANGA	dignity	2021-09-16 18:07:45
ニュース	BBC News - Home	Alex Murdaugh: Hot shot lawyer turns himself in for 'hit man suicide' plot	https://www.bbc.co.uk/news/world-us-canada-58577936?at_medium=RSS&at_campaign=KARANGA	murdaugh	2021-09-16 18:09:50
ニュース	BBC News - Home	West Ham begin Europa League campaign with win in Zagreb	https://www.bbc.co.uk/sport/football/58519064?at_medium=RSS&at_campaign=KARANGA	dinamo	2021-09-16 18:38:28
ビジネス	ダイヤモンド・オンライン - 新着記事	石破発で“派閥の縦割り”崩壊、自民党「権力構造」流動化の内幕 - 永田町ライヴ！	https://diamond.jp/articles/-/282419	安倍晋三	2021-09-17 03:50:00
ビジネス	ダイヤモンド・オンライン - 新着記事	ネットから消えた中国人気女優、理由は謎のまま - WSJ PickUp	https://diamond.jp/articles/-/282279	wsjpickup	2021-09-17 03:45:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【オピニオン】米国のリーダーシップ衰退が招くもの - WSJ PickUp	https://diamond.jp/articles/-/282417	wsjpickup	2021-09-17 03:40:00
ビジネス	ダイヤモンド・オンライン - 新着記事	名古屋入管・スリランカ人女性死亡問題に見える「外国人嫌悪」という日本の闇 - News&Analysis	https://diamond.jp/articles/-/282418	newsampampanalysis	2021-09-17 03:35:00
ビジネス	ダイヤモンド・オンライン - 新着記事	大きな病気・ケガ・手術時の味方「限度額適用認定証」を必ずゲットしよう - 知らないと損する！医療費の裏ワザと落とし穴	https://diamond.jp/articles/-/282274	落とし穴	2021-09-17 03:30:00
ビジネス	ダイヤモンド・オンライン - 新着記事	「なんとなくダルい」「集中力が続かない」という悩みを根本的に解決する最高の休息法とは？ - 世界のエリートがやっている 最高の休息法	https://diamond.jp/articles/-/280505	集中力	2021-09-17 03:25:00
ビジネス	ダイヤモンド・オンライン - 新着記事	株主優待でおなじみ桐谷さんが株で4億円を築くまで（7）リーマンショックでの大損が優待名人を生んだ奇跡 - 一番売れてる月刊マネー誌ZAiと作った桐谷さんの日本株&米国株入門	https://diamond.jp/articles/-/277686	ampamp	2021-09-17 03:15:00
ビジネス	ダイヤモンド・オンライン - 新着記事	一番多くの人に好かれる方法 - 精神科医Tomyが教える　１秒で悩みが吹き飛ぶ言葉	https://diamond.jp/articles/-/278647	そう、あなたの「好かれたい」という打算的な態度や言動は、周りの人に見抜かれてしまいますなら、どうすればいいの精神科医Tomy先生が、大切なポイントを教えてくれます。	2021-09-17 03:10:00
ビジネス	ダイヤモンド・オンライン - 新着記事	【現役サラリーマンが株式投資で2億円】 「PER＋売上高」で 銘柄探しをする - 割安成長株で2億円 実践テクニック100	https://diamond.jp/articles/-/279507		2021-09-17 03:05:00